Diabetes, Metabolic Syndrome and Obesity (Aug 2020)
Associations of Gain in Weight-Related Anthropometric Indices with a Marker of Lipid Peroxidation: A Cohort Study Among Urban Adults in China
Abstract
Tao Xu,1,2 Bin Wang,1,2 Limin Cao,1,2 Weihong Qiu,1,2 Zhuang Zhang,1,2 Ailian Chen,1,2 Weihong Chen1,2 1Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, People’s Republic of China; 2Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, People’s Republic of ChinaCorrespondence: Weihong ChenDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, People’s Republic of ChinaTel +86 27 83691677Email [email protected]: Obesity is reported to be associated with oxidative stress which can cause lipid peroxidation. However, the effects of gain in various weight-related anthropometric indices on lipid peroxidation remain unclear. We aimed to examine the cross-sectional and longitudinal associations between altered weight-related anthropometric indices and a marker of lipid peroxidation among urban adults in China.Methods: A total of 3762 participants from the Wuhan-Zhuhai cohort were included in the present study, with a follow-up of 3 years. Six weight-related anthropometric indicators were measured and calculated, including waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), a body shape index (ABSI), and body adiposity index (BAI). Individual urinary 8-iso-prostaglandin-F2α (8-iso-PGF2α) was determined via enzyme-linked immunosorbent assay to evaluate lipid peroxidation. We used generalized linear models to analyze the cross-sectional and longitudinal associations of weight-related anthropometric indices with a marker of lipid peroxidation and stratified analyses to estimate effect modification.Results: We found significant relationships between WHR, WHtR, ABSI, and urinary 8-iso-PGF2α at baseline. Each 1% increase in WHR, WHtR, and ABSI was significantly associated with a 0.007, 0.004, and 0.104 increase in log-transformed 8-iso-PGF2α concentration, respectively (P< 0.05). In longitudinal analysis, positive dose–response relationships were observed between gains in BMI, BAI, and increased 8-iso-PGF2α after adjusting for potential confounders (Ptrend< 0.05). We also found that gender and smoking status modified the association of BMI gain and 8-iso-PGF2α increment, and such an association was more obvious in female and non-smokers.Conclusion: Our research implied that gain in anthropometric indices may result in a higher level of lipid peroxidation.Keywords: weight-related anthropometric indices, lipid peroxidation, obesity, cohort study
